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George Kioko
George Kioko

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How to Build a Company Employee List With Emails From LinkedIn, No Login

How to Build a Company Employee List With Emails From LinkedIn, No Login

If you do sales or recruiting, you have hit this wall. You find a company you want to sell into or hire from, you open LinkedIn to see who works there, and within a few profile views LinkedIn throws up the login wall, then the rate limit, then the account warning. Doing it from your own logged in account is how you get your account restricted.

There is a cleaner way to pull a company's employees with their work emails, without logging in and without burning a LinkedIn account. Here is the exact workflow.

The job, stated plainly

You have a company. You want a list of the people who work there, their titles, and a work email for each, so you can actually reach the decision makers instead of staring at a profile you cannot contact. You want it as a clean export you can drop into your CRM or a sequence, not fifty browser tabs.

The slow way is opening profiles one at a time from your own account. That does not scale and it puts your account at risk. The tool way pulls the whole roster in one run from infrastructure that is not your personal login.

Step 1: point the actor at a company

I use the LinkedIn Company Employees Scraper on Apify. You give it a company, either the LinkedIn company URL or the name, and it returns the people who work there. No login, no cookies from your account, so your own profile never touches the request.

{
  "company": "https://www.linkedin.com/company/stripe",
  "maxResults": 200,
  "findEmails": true
}
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Set maxResults to keep the list focused, and turn on email finding so each person comes back with a work email where one can be resolved.

Step 2: read what comes back

Each employee returns as a structured row: full name, job title, the company, profile URL, and a work email when it can be found and verified. That is the difference between a list of names you cannot use and a list you can actually send to.

The email step is the part that matters. A list of two hundred names with no contact path is busywork. A list where the head of growth and the VP of sales come back with a deliverable email is a pipeline.

Step 3: filter to the people who matter

Sort by job title and keep the roles you actually sell to or recruit for. Founder, VP, head of, director, whatever your buyer or candidate looks like. A roster of two hundred becomes a target list of the fifteen people worth a message, each with a name, a title, and an email already attached.

That is the whole point. You are not contacting two hundred people. You are finding the handful who decide and reaching them directly.

Step 4: run it inside Claude or any AI agent (MCP)

The actor is exposed over the Apify MCP server, so an AI agent can build the list mid conversation with no glue code:

https://mcp.apify.com?tools=george.the.developer/linkedin-company-employees-scraper
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Ask your agent "pull the marketing and sales leaders at these ten companies with their emails" and it runs the actor, filters the roles, and hands you a ready list. The prospecting becomes one step inside whatever outreach flow your agent already runs.

Why no login is the whole game

Every LinkedIn scraping headache traces back to one thing: people run it from their own logged in account, then the account gets warned, restricted, or banned. The no login approach moves the request off your personal profile entirely. Your account stays clean because it was never in the loop. That is the difference between a tool you can run every day and one that gets your LinkedIn flagged in a week.

The 15 minute version

Point it at a company, turn on email finding, run it, filter to the titles you want, export to CSV or push to your CRM. After the first run you have a repeatable way to turn any company into a contactable target list, without ever risking your own account.

You can run the LinkedIn Company Employees Scraper here: https://apify.com/george.the.developer/linkedin-company-employees-scraper


Source and verification reports: github.com/the-ai-entrepreneur-ai-hub/apify-actor-portfolio.

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